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DBMS > Druid vs. Manticore Search vs. TiDB

System Properties Comparison Druid vs. Manticore Search vs. TiDB

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonManticore Search  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataOpen source search engine for searching in data from different sources. Forked of and compatible with Sphinx.TiDB is an open source distributed Hybrid Transactional/Analytical Processing (HTAP) database that supports MySQL and Spark SQL syntaxes.
Primary database modelRelational DBMS
Time Series DBMS
Search engineRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.83
Rank#115  Overall
#57  Relational DBMS
#7  Time Series DBMS
Score0.06
Rank#304  Overall
#16  Search engines
Score1.60
Rank#123  Overall
#60  Relational DBMS
Websitedruid.apache.orgmanticoresearch.compingcap.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.manticoresearch.com/­latest/­html
github.com/­manticoresoftware/­manticoresearch
pingcap.com/­docs
DeveloperMetamarkets Group and contributorsManticore SoftwarePingCAP, Inc.
Initial release201220172016
Current release3.0.0, June 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGPL version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Go, Rust
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyes infoschema-less columns are supportedyesyes
Typing infopredefined data types such as float or dateyesnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL support via Apache Calcite adapterSQL-like query languageyes
APIs and other access methodsJSON over HTTPProprietary protocolJDBC
ODBC
Proprietary protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infocurrently only supported in syntax
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlno infoavailable via extensionsnoUsers with fine-grained authorization concept. No user groups or roles.
More information provided by the system vendor
DruidManticore SearchTiDB
Specific characteristicsTiDB is an open source distributed scalable hybrid transactional and analytical processing...
» more
Competitive advantagesIn the current database landscape, infrastructure engineers often have to use one...
» more
Typical application scenariosTiDB is designed to support both OLTP and OLAP scenarios. You can use TiDB , the...
» more
Key customersBank of Beijing (Banking) Mobike (Ridesharing) Toutiao (Media) Ele.me (Catering)...
» more
Market metricsInfoWorld’s 2018 Best of Open Source Software Award winners 15000+ stars on GitHub...
» more
Licensing and pricing modelsOpen Source Apache 2.0 with either commercial licensing or fully-hosted DB-as-a-service...
» more
News

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11 December 2019

NetEase Games: Why We Chose a Distributed SQL Database Alongside MySQL to Break down Data Silos
4 December 2019

New Structure, New Roles - TiDB Community Upgrade!
2 December 2019

10x Performance Improvement for Expression Evaluation Made Possible by Vectorized Execution and the Community
29 November 2019

Building a Large-scale Distributed Storage System Based on Raft
20 November 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DruidManticore SearchTiDB
Recent citations in the news

Druid Developer Ramps Cloud-Native Approach
10 December 2019, Datanami

What's Behind Lyft's Choices in Big Data Tech
10 May 2019, Datanami

Imply launches with $2M to commercialize the Druid open-source data store
19 October 2015, VentureBeat

Yahoo Casts Real-Time OLAP Queries with Druid
4 August 2015, Datanami

Hadoop Creator Yahoo Finds It's Not Enough, Turns to Druid
30 July 2015, ADT Magazine

provided by Google News

PingCAP offers titanium bullet to switch to its HTAP database
22 January 2019, DevClass

TiDB developer PingCAP wants to expand in North America after raising $50M Series C
11 September 2018, TechCrunch

How TiDB combines OLTP and OLAP in a distributed database
17 October 2018, InfoWorld

Percona Unveils Stellar Keynote Schedule for Eighth Annual Percona Live Open Source Database Conference
9 May 2019, GlobeNewswire

China’s Biggest Startups Ditch Oracle and IBM for Home-Made Tech
24 June 2019, Bloomberg

provided by Google News

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